code: def uniform(low, high, random_state):
      """
      low: an float that represent an lower bound
      high: an float that represent an upper bound
      random_state: an object of numpy.random.RandomState
      """
      assert high >= low, "Upper bound must be larger than lower bound"
      return random_state.uniform(low, high)
  
file_path: auptimizer/src/aup/compression/torch/parameter_expressions.py
imports: import numpy
label_desc: Use image node_id 3 for calling a global function with example usage: uniform(low, high, random_state) and returns: random_state